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A Handoff Algorithm Based on Parallel Fuzzy Neural Network in Mobile Satellite Networks

Ning Li, Bin. Gong, and Zhongliang Deng
School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
Abstract—In the next generation Internet, satellite will play a vital role in ensuring Always-Best-Connected, where handoff is essential. In view of the existing problems of satellite network handoff, for instances, long handoff delay and unnecessary handoffs, this paper proposes a method based on a parallel fuzzy neural network handoff algorithm. This method adopts parallel inputting modules and takes into consideration various factors which influence the overall performance. And it is able to adjust membership functions and decision rules to realize smooth handoff. This algorithm, with its good adaptability and learning ability, result in a better performance than traditional handoff algorithm in the aspects of reducing the system delay, blocking rate and average handoff times, and improving the system efficiency, leading to fast smooth handoff. In addition, it can also bring extra benefits of traffic equilibrium
Index Terms—Satellite networks, fuzzy neural networks,smooth handoff, multi-factor decision

Cite: Ning Li, Bin. Gong, and Zhongliang Deng, "A Handoff Algorithm Based on Parallel Fuzzy Neural Network in Mobile Satellite Networks," Journal of Communications, vol. 12, no. 7, pp. 395-404, 2017. Doi: 10.12720/jcm.12.7.395-404.
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